Senior Data Engineer - AI-Driven CPE Platform Lead

Carlyle Group; Washington (District of Columbia); Presencial; USD 140.000 - 180.000; Jornada completa

Descripción de la vacante

The Carlyle Group seeks a hands-on engineering manager to lead AI and data engineering for Global Private Equity. You will direct production AI capabilities and govern portfolio data on a cloud platform built on Snowflake, dbt and AWS, while mentoring a team of contract engineers.

You will design, review, and deploy MCP services, agents and integrations, balance governance with innovation, and partner with product owners to convert finance workflows into reliable software.

Formación

• Bachelor’s degree, required
• Strong Python and SQL, plus C#/.NET or TypeScript
• Experience shipping LLM-powered applications to production
• Hands-on with cloud data platforms and modern transformation tools
• Experience with AWS or Azure, CI/CD and IaC

Responsabilidades

• AI Applications & Agents: design, build and deploy LLM-powered tools and integrations for governed portfolio data.
• AI Evaluation & Quality: define evaluation cases, regression suites and gate releases.
• AI Security & Governance: implement OAuth/OIDC, data security, audit logging.
• Team Leadership: mentor a team of contract engineers and data engineers.
• Data Products & Semantics: maintain governed data models, metadata, and lineage.
• Engineering Practices: promote code review, testing, and CI/CD.
• Production Support & Reliability: own stability of AI services and data pipelines.
• Data Quality & Controls: ensure auditable data for valuations and metrics.
• Platform Modernization: move workloads to the cloud platform.
• AI-Enabled Delivery: adopt AI coding assistants with guardrails.
• Business Partnership & Communication: work with product owners to prioritize backlog.

Conocimientos

Python

SQL

C#/.NET

TypeScript

LLM-powered apps

Snowflake

dbt

Databricks

Azure Synapse

Spark

GitHub Actions

Terraform

MCP

Educación

Bachelor’s degree in computer science, engineering, finance, or quantitative discipline

Herramientas

Snowflake

Databricks

Azure Synapse

dbt

Spark

GitHub Actions

Terraform

Descripción del empleo

The Carlyle Group seeks a hands-on engineering manager to lead AI and data engineering for Global Private Equity. You will direct production AI capabilities and govern portfolio data on a cloud platform built on Snowflake, dbt and AWS, while mentoring a team of contract engineers.

You will design, review, and deploy MCP services, agents and integrations, balance governance with innovation, and partner with product owners to convert finance workflows into reliable software.